Practical deep-dives for system design, Java, Spring Boot, DevOps, and AI engineering.
Follow curated learning tracks, master fundamentals, and apply them in production-ready scenarios.
Pick a track and move from fundamentals to depth.
Architecture drills, trade-offs, scaling patterns, and interview-ready answers.
Explore PathCore Java concepts, coding patterns, and practical question walkthroughs.
Explore PathProduction-focused Spring guides covering APIs, validation, and configuration.
Explore PathEvery post belongs to a structured series so you can learn in order.
Coding interview prep with Java fundamentals, regex, and algorithmic problem sets.
Step-by-step posts grouped as one coherent learning track.
Applied AI foundations including MCP, RAG, and practical ML engineering patterns.
Object-oriented pattern implementations and practical decision guidance in Java.
Interview-first architecture breakdowns with clear capacity and trade-off reasoning.
Step-by-step posts grouped as one coherent learning track.
Step-by-step posts grouped as one coherent learning track.
Hands-on command guides and workflow tooling for faster day-to-day engineering.
Spring Boot API, validation, and configuration deep dives for production use.
Sharding and data-growth strategies for high-throughput backend systems.
Interview and process guidance for stronger software engineering execution.
Step-by-step posts grouped as one coherent learning track.
Use this Git cheat sheet to learn the most useful Git commands for setup, commits, branches, remotes, undoing mistakes, and daily workflows.
By Pratik Bhuite | 21 min read
Series: DevOps & Developer Tooling Series
Read SpotlightSeries: AI Development Tools
Master Cursor's Skills, Rules, and Subagents. Learn what they are, when to use each, and how they compare for AI-powered coding workflows.
Series: AI Engineering & Machine Learning Series
A comprehensive guide to understanding Model Context Protocol (MCP), how it differs from LLMs, AI agents, APIs, and other similar concepts in the AI ecosystem.
Use quick topic filters to jump straight into what you need.
Series: API and Backend Basics Series
Learn authentication vs authorization with clear API examples, 401 vs 403, sessions, JWTs, and role checks in modern backends.
Series: AI Engineering & Machine Learning Series
Learn what Google AI Studio is, how it differs from Gemini, and how to use prompts, tools, Build mode, and API keys effectively.
Series: AI Engineering & Machine Learning Series
Learn what Google Stitch is, how it turns prompts into UI designs and front-end code, and how to use it effectively for faster prototyping.
Series: API and Backend Basics Series
Learn what JSON is, how its syntax works, and why APIs use it for fast, language-independent data exchange.
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